Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Capture into resonance: a method for efficient control.

Dmitri Vainchtein1, Igor Mezić

  • 1Department of Mechanical and Environmental Engineering, University of California-Santa Barbara, Santa Barbara, CA 93106, USA. dmitri@engineering.ucsb.edu

Physical Review Letters
|September 28, 2004
PubMed
Summary

This study introduces a structured control method for resonance capture in dynamical systems. It enables precise energy changes in charged particles by controlling resonance interactions.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Adversarial dynamical systems characterize when data-driven learning succeeds or fails.

Nature communications·2026
Same author

Koopman-Driven Grip Force Prediction Through EMG Sensing.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2025
Same author

Koopman learning with episodic memory.

Chaos (Woodbury, N.Y.)·2025
Same author

A Koopman operator-based prediction algorithm and its application to COVID-19 pandemic and influenza cases.

Scientific reports·2024
Same author

Control of soft robots with inertial dynamics.

Science robotics·2023
Same author

Model and parameter identification of soft tissue response to a movement of remotely navigated magnetic sphere.

Journal of the mechanical behavior of biomedical materials·2021

Area of Science:

  • Physics
  • Dynamical Systems
  • Plasma Physics

Background:

  • Conservative dynamical systems require internal resonance for significant adiabatic invariant changes.
  • Resonance capture is typically a probabilistic process.
  • Controlling charged particle motion in electromagnetic fields is crucial for various applications.

Purpose of the Study:

  • To propose a novel control method for structured resonance capture.
  • To enhance the predictability and efficiency of energy transfer in dynamical systems.
  • To demonstrate the method's efficacy using charged particle motion in electromagnetic fields.

Main Methods:

  • Developing a control strategy involving short electromagnetic pulses.
  • Applying the method to charged particles near a resonance surface in an electromagnetic field.

Related Experiment Videos

  • Analyzing particle behavior during capture, transport, and release from resonance.
  • Main Results:

    • Demonstrated a structured approach to resonance capture, moving beyond probabilistic methods.
    • Showcased the ability to precisely control particle energy levels via resonance transport.
    • Investigated the energy distribution achieved through the proposed two-pulse control method.

    Conclusions:

    • The proposed control method offers a structured way to manage resonance capture in conservative dynamical systems.
    • This technique allows for efficient and targeted energy manipulation of particles.
    • The findings have implications for controlling particle dynamics in various physics and engineering fields.